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Section 1 outlines several classical traffic sharing schemes proposed in the literature.
Method assessment is carried out by simulating classical traffic sharing algorithms in a three-dimensional office scenario with femtocell location plans designed based on different network performance criteria.
In particular, neural networks can offer better solutions to the passenger call allocation process when compared to the classical traffic control methods.
Then, a comprehensive performance analysis of classical traffic sharing algorithms with the different location plans has been performed in a dynamic system-level simulator.
Then, a comprehensive performance analysis of classical traffic sharing algorithms with different femtocell locations is carried out in a dynamic system-level simulator.
The proposed strategy is assessed by simulating classical traffic sharing algorithms in an office scenario with different femtocell location plans, resulting in useful conclusions especially when the traffic is unevenly distributed.
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We currently understand little about the membrane trafficking principles of this endocytic route, but it is clear that we cannot use paradigms from classical membrane traffic.
According to the classical vehicular traffic theory, vehicles are assumed to have Poisson distributed arrivals [17].
In the classical vehicular traffic theory, vehicles' arrival process is assumed to be Poisson distributed with mean arrival rate in veh/sec [14, 15].
Speed estimation has been done on different kinds of displacements, i.e., rectilinear displacement and also classical road traffic displacement with different curves.
While nanospheres were taken up by clathrin-mediated endocytosis, the microspheres undergo classical phagocytosis, trafficking more rapidly to the lysosomes.
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